Meso-scale structures of bidisperse mixtures of particles fluidized by a gas

William Holloway, Sofiane Benyahia, Christine M. Hrenya, Sankaran Sundaresan

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Flow characteristics of bidisperse mixtures of particles fluidized by a gas predicted by the mixture based kinetic theory of Garzó et al. (2007a,b) and the species based kinetic theory model of Iddir and Arastoopour (2005) are compared. Simulations were carried out in two- and three-dimensional periodic domains. Direct comparison of the meso-scale gas-particle flow structures, and the domain-averaged slip velocities and meso-scale stresses reveals that both mixture and species based kinetic theory models manifest similar predictions for all the size ratios examined in this study. A detailed analysis is presented in which we demonstrate when the species based theory of Iddir and Arastoopour (2005) will reduce to a mathematical form similar to the mixture framework of Garzó et al. (2007a,b). We also find that the flow characteristics obtained for bidisperse mixtures are very similar to those obtained for monodisperse systems having the same Sauter mean diameter for the cases examined; however, the domain-averaged properties of monodisperse and bidisperse gas-particle flows do demonstrate quantitative differences. The use of filtered two-fluid models that average over meso-scale flow structures has already been described in the literature; it is clear from the present study that such filtered models are needed for coarse-grid simulations of polydisperse systems as well.

Original languageEnglish (US)
Pages (from-to)4403-4420
Number of pages18
JournalChemical Engineering Science
Volume66
Issue number19
DOIs
StatePublished - Oct 1 2011

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

Keywords

  • Fluid mechanics
  • Fluidization
  • Hydrodynamics
  • Multiphase flow
  • Suspension
  • Transport processes

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